一种用于GRAPPA校准的非线性正则化策略。

A nonlinear regularization strategy for GRAPPA calibration.

作者信息

Bydder Mark, Jung Youngkyoo

机构信息

Department of Radiology, University of California San Diego, San Diego, CA 92103-8226, USA.

出版信息

Magn Reson Imaging. 2009 Jan;27(1):137-41. doi: 10.1016/j.mri.2008.05.005. Epub 2008 Jun 25.

DOI:10.1016/j.mri.2008.05.005

PMID:18583080

Abstract

A regularization strategy is described for generalized autocalibrating partially parallel acquisition (GRAPPA) that allows successful calibration using a small number of autocalibration signals (ACS). The approach requires certain nonlinear relationships between the GRAPPA coefficients to be satisfied, which increases the redundancy so that fewer ACS need to be acquired.

摘要

描述了一种用于广义自校准部分并行采集（GRAPPA）的正则化策略，该策略允许使用少量自校准信号（ACS）进行成功校准。该方法要求GRAPPA系数之间满足某些非线性关系，这增加了冗余度，从而需要采集的ACS更少。